Deepak Jain将在2026年Nvidia GTC大会上主持两个会议。
Deepak Jain,AiNET Factory的创始人及大规模AI基础设施平台的开发者,将在2026年NVIDIA GTC大会上主持两场会议。这两场会议将重点讨论大规模AI工厂的经济学和部署情况。
加利福尼亚州圣荷西 — 2026年3月12日 — AiNET Factory的创始人Deepak Jain将在由NVIDIA主办的全球AI大会NVIDIA GTC 2026上主持两场会议。
在GTC 2026上,Jain将引导讨论,聚焦于当今人工智能面临的一个最紧迫的挑战:支持下一代AI系统和AI工厂所需的基础设施。
随着企业部署越来越大规模的AI模型和AI原生应用,对AI基础设施和GPU能力的全球需求急剧增加。
根据NVIDIA的说法,GTC是“全球首屈一指的AI大会,开发者、研究人员和商业领袖齐聚一堂,探索下一波AI创新。”大会将于2026年3月16日至19日在加利福尼亚州圣荷西举行,届时将有超过1000场会议,探讨加速计算、AI工厂、模型、基础设施和应用。
Jain的会议将探讨资本、能源、GPU基础设施和长期需求如何塑造新兴的AI基础设施生态系统。
“AI工厂正迅速成为AI经济背后的物理基础设施,”AiNET Factory的创始人Deepak Jain表示。“下一波AI创新不仅依赖于更好的模型,还依赖于运行这些模型所需的AI计算基础设施——电力、GPU和平台。”
AI工厂结合了数据中心基础设施、能源系统、GPU集群和AI软件平台,以推动全球AI经济的快速扩展。
**会议1**
AI能力危机:为何GPU在等待基础设施
2026年3月17日,星期二
太平洋时间下午1:00
本次会议探讨了AI行业中日益突出的悖论:尽管全球对GPU的需求持续激增,AI准备基础设施却成为扩展AI系统的限制因素。
讨论主题包括:
- 主要AI市场的电力限制
- 电力供应时间与GPU部署时间的对比
- 对现有数据中心进行AI工作负载的改造
- 下一波AI计算能力的来源
本次会议适合:
- AI创始人
- 基础设施投资者
- GPU云公司
- 建设AI平台的企业
**会议2**
构建AI工厂:让我们谈谈资本、电力、GPU和回报
2026年3月17日,星期二
太平洋时间下午2:00
AI工厂结合了数据中心、能源基础设施和技术平台的元素。在本次会议中,Jain将引导讨论大规模AI基础设施项目的经济学,以及投资者和合作伙伴如何参与下一代AI能力。
讨论主题包括:
- AI计算作为基础设施
- 对GPU能力的长期需求
- 大型GPU集群的融资模型
- AI工厂、数据中心和能源项目之间的比较
本次讨论特别适合:
- 私募股权公司
- 风险投资者
- 基础设施基金
- AI平台公司
- 战略企业投资者
**关于AiNET Factory**
AiNET Factory专注于开发旨在支持下一代GPU驱动的AI平台和AI原生应用的AI基础设施。这些设施构成了全球AI计算基础设施的支柱,使组织能够训练和部署大规模AI模型。
Deepak Jain是AiNET Factory的创始人,该公司专注于开发大规模AI基础设施和AI工厂平台。AiNET Factory开发的AI工厂旨在为大规模AI平台提供电力、冷却和GPU基础设施。
www.ainetfactory.com
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Deepak Jain, Founder of AiNET Factory and a developer of large-scale AI infrastructure platforms, to Host Two Sessions at NVIDIA GTC 2026. The sessions focus on the economics and deployments of large-scale AI Factories.
San Jose, CA — March 12, 2026 — Deepak Jain, founder of AiNET Factory, will host two sessions at NVIDIA GTC 2026, the global AI conference organized by NVIDIA.
At GTC 2026, Jain will lead conversations focused on one of the most pressing challenges facing artificial intelligence today: the infrastructure required to power the next generation of AI systems and AI factories.
Global demand for AI infrastructure and GPU capacity has accelerated dramatically as enterprises deploy increasingly large AI models and AI-native applications.
According to NVIDIA, GTC is “the premier global AI conference, where developers, researchers, and business leaders come together to explore the next wave of AI innovation.” The conference takes place March 16–19, 2026 in San Jose, California and will feature more than 1,000 sessions exploring accelerated computing, AI factories, models, infrastructure, and applications.
Jain’s sessions will examine how capital, energy, GPU infrastructure, and long-term demand are shaping the emerging AI infrastructure ecosystem.
“The AI Factory is quickly becoming the physical infrastructure behind the AI economy,” said Deepak Jain, founder of AiNET Factory. “The next wave of AI innovation will depend not just on better models, but on the AI compute infrastructure — power, GPUs, and platforms — required to run them at scale.”<p>AI factories combine data center infrastructure, energy systems, GPU clusters, and AI software platforms to power the rapidly expanding global AI economy.<p>Session 1
AI Capacity Crisis: Why GPUs Are Waiting for Infrastructure
Tuesday, March 17, 2026
1:00 PM PT
This session explores a growing paradox in the AI industry: while demand for GPUs continues to surge globally, AI-ready infrastructure is becoming the limiting factor for scaling AI systems.
Topics discussed will include:
• Power constraints in major AI markets
• Time-to-power vs. time-to-GPU deployment timelines
• Retrofitting existing data centers for AI workloads
• Where the next wave of AI compute capacity will originate
The session is designed for:
• AI founders
• Infrastructure investors
• GPU cloud companies
• Enterprises building AI platforms<p>Session 2
Building an AI Factory: Let’s Talk Capital, Power, GPUs & Returns
Tuesday, March 17, 2026
2:00 PM PT
AI factories combine elements of data centers, energy infrastructure, and technology platforms. In this session, Jain will lead a discussion on the economics of large-scale AI infrastructure projects and how investors and partners can participate in the next generation of AI capacity.
Discussion topics include:
• AI compute as infrastructure
• Long-term demand for GPU capacity
• Financing models for large GPU clusters
• Comparisons between AI factories, data centers, and energy projects
This discussion is particularly relevant for:
• Private equity firms
• Venture capital investors
• Infrastructure funds
• AI platform companies
• Strategic corporate investors<p>About AiNET Factory
AiNET Factory focuses on developing AI infrastructure designed to support the next generation of GPU-powered AI platforms and AI-native applications. These facilities form the backbone of global AI compute infrastructure, enabling organizations to train and deploy large-scale AI models.
Deepak Jain is the founder of AiNET Factory, a company focused on developing large-scale AI infrastructure and AI factory platforms.
AiNET Factory develops AI factories designed to deliver power, cooling, and GPU infrastructure for large-scale AI platforms.
www.ainetfactory.com